data-visualization

This Skill creates publication-quality charts using matplotlib and seaborn, exporting high-resolution PNG files with tight bounding boxes. It supports bar, line, scatter, heatmap, histogram, and box plot generation from your dataset.

Yes, you can create a multi-panel analysis summary combining a distribution histogram, a bar chart of group means, and a scatter plot of key variables. The Skill automates this layout to visualize data analysis results comprehensively.

Headless chart generation operates in a GPU sandbox suitable for server environments. The Skill renders matplotlib and seaborn visualizations without a display, saving high-resolution PNG outputs directly to the /workspace directory.

The best way to export high-resolution matplotlib figures is using this Skill's publication-ready defaults. It saves charts as high DPI PNG files with tight bounding boxes to the /workspace directory, ensuring proper inline display and retrieval.

You do not need to install seaborn separately to plot heatmaps and box plots. The Skill integrates seaborn and matplotlib internally to handle chart generation, operating entirely within its headless GPU rendering environment.